Numerical Algorithm to Perform Viscoelastic Analysis

Numerical Algorithm to Perform Viscoelastic Analysis Viscous materials exhibit both viscous and elastic characteristics when undergoing deformation. The response of such materials to force is characterized by two distinct phases. The materials first deform instantaneously akin to elastic materials. Following on, the material continues to deform at a relatively slower time scale. Typically, materials undergoing thermal treatment exhibit viscoelastic properties.
SS Aug 2023

2023 TCAD Baseline Release

New Features in the 2023 Baseline Release:
  • Section 1: Process Simulation – New Features in 2023 Baseline Release
  • Section 2: Device Simulation – New Features in 2023 Baseline Release
  • Section 3: Victory Mesh – New Features in 2023 Baseline Release
  • Section 4: New Examples in 2023 Baseline Release

Simulation Framework for Device-packaging Co-design for Power Electronics

The past several years has seen a fast deployment of wide-bandgap power devices in fast chargers, electric vehicles, data centers and renewable energy processing. The performance of power devices is fast progressing towards their intrinsic material limit. As these devices can handle higher voltage and larger current density, packaging and thermal management will become the key limiting factor for exploiting their benefits in power electronic converters and systems.

Understanding of Geometrical Boundary Conditions in Victory Process

It is common to run the process simulation for the part of a larger structure just to reduce the computation time. To account for the influence of parts of the structure outside the simulation domain, Victory Process makes assumptions about overall structure geometry.

Automatic Grid Refinement for Thin Material Layer Etching in Process TCAD Simulations

The utilization of thin material layers is common in modern semiconductor device fabrication. Subsequent etching steps require an accurate modeling of these thin layers. Although level-set based process TCAD simulations are capable of representing flat thin material layers with sub-grid accuracy, topographical changes during etching processes expose the low underlying grid resolution, which leads to detrimental artifacts.

How to Search, View and Use Default Parameters from the Silvaco Material DataBase SMDB with DeckBuild

Silver, DeckBuild’s material database viewer, can be used to examine the default parameters in the Silvaco Material DataBase (SMDB) and to generate MATERIAL commands for Victory Process and Victory Device. Silver can be started by clicking the launch button in DeckBuild.

3D TCAD Simulation of Gallium Nitride Tri-gate Junction HEMT

The GaN high electron mobility transistor (HEMT) has been commercialized as a power device with performance superior to Si devices in the voltage classes from 15 V to 900 V [1]. Most of commercial enhancement-mode (E-mode) HEMTs comprise a planar p-GaN gate. Recently, 3-D gate stacks, such as FinFET and tri-gate structures, have been introduced to lateral GaN HEMTs. They can realize superior gate controllability and E-mode operation with a higher current on/off ratio and lower gated channel resistance [2].

Writing an Impurity Activation Model with the Open Model Library

Accuracy of Impurity Activation is essential in correctly modeling and simulating Silicon Carbide devices. For high concentrations of dopants, it is well known that less than 100% of dopants will be electrically active. To address this effect, Silvaco Victory Process models dopant activation in Silicon Carbide in 3 ways.

User Probes and Arbitrary Parameter Sweeps in Victory Device

One of the new features in Victory Device is the ability to add user managed parameters to a log file. This can be used when sweeping parameters (manually or in a Deckbuild loop), such as doping, stress, or layer thicknesses, to add the swept parameter to a log file. To do so, simply create a USER probe (with an optional name), and set the parameter USER on the MODELS statement to some value. This parameter (and value) will be added to the log file. The available user parameters are USER1, USER2, USER3, and USER4. The following shows a DeckBuild loop (go victoryd) to simulate the effect of varying STRESS_XX on the mobility.

Quantum Transport Simulation at Atomistic Accuracy of a Nanowire FET

The FET physical dimensions continue to shrink to five nm node and below, characterized by new types of architectures with nanosheet (NS) and nanowire (NW) shapes [3]. The present choice of material is made of Si, Ge, or SiGe alloy thanks to their high carrier concentrations. In compliment to III-V technology envisaged for a while, new 2D materials are also investigated (for example, the TMDs monolayers1). Such nanomaterials and nano-architectures require atomistic simulations for at least two crucial reasons: 1) bulk parameters like the effective masses and forbidden bandgap are no longer pertinent quantities, and 2) the wave nature of charge carriers becomes predominant for predicting transport characteristics including scattering events.